资助项目:高等学校服务产业创新学科建设计划“土壤污染生态修复学科群”; 国家现代农业高粱产业技术体系建设专项(CARS-06-02-03)
第一作者:崔慧瑾(1995—),女,山西晋中人,硕士研究生,研究方向为:生态系统碳循环。E-mail:chj205093@163.com 通信作者:严俊霞(1976—),女,山西太原人,副教授,研究方向为:生态系统碳循环。E-mail:yjx422@sxu.edu.cn
Accurate estimate of soil respiration(Rs)in different ecosystems has great significance for the global carbon cycle research. Taking sorghum field as the research sample, we carried out the periodical measurement of both soil respiration and canopy hyperspectral characteristics under the conditions of bio-charcoal addition and plastic film mulching, and established the relationship between the Rs and the canopy hyperspectral indices to provide an approach for indirectly estimate total soil emission based on those dataset. Four different field treatments in the experiment were control(CK), biochar(B), plastic film mulching(P), and biochar + plastic film mulching(B+P). The results are showed as follows.(1)Compared with CK treatment, the P treatment significantly promoted Rs (p<0.05), and there was no significant change in Rs for B treatment. The average value of the Rs in the growing season was 9.43 μmol/(m2·s), 8.88 μmol/(m2·s), 7.35 μmol/(m2·s)and 6.68 μmol/(m2·s)in B+P, P, B and CK treatments, respectively.(2)The reflectance of the near-infrared band of the canopy in different growth stages was different. The reflectance values in the B+P and P treatments were significantly higher than those in the CK and B treatments at jointing stage, but the values in CK and B treatments were significantly higher than those in the P and B+P treatments at heading stage, and no significant difference was found among the four treatments during grain filling and harvesting stages.(3)The spectral reflectance, first derivative spectrum, spectral characteristic parameters, and existing vegetation index of the sorghum canopy were significantly correlated with Rs and the highest correlation coefficient was more than 0.80.(4)Comprehensive consideration for the simulation accuracy and verification precision of the model, the best one for the Rs estimation in the sorghum field could be described as Rs =1666.3R'747+1.332 [R2=0.69, p<0.01, RMSE=2.56 μmol/(m2·s)], and with respect to the verification model, R2, RMSE and slope were 0.75, 2.28 μmol/(m2·s)and 0.715 8, respectively. The results of the study can provide the technical support for making non-destructive monitor for Rs emission from agricultural ecosystems at large scale.